
Overview
Background
Noorul Amin is SAAFE CRC's foundational Postdoctoral Research Fellow in the data analytics program. His research focuses on advanced computational techniques in biological data, including omics data analysis and tools development. With a background in applying machine learning and data mining approaches to biological challenges, Noorul's current work centres on the intersection of data analytics and antimicrobial resistance, particularly in agribusiness, food security, and the environment.
He is seeking Honours and PhD students interested in applying machine learning, cloud computing, and big data approaches to biological research problems.
Availability
- Dr Noorul Amin is:
- Available for supervision
Fields of research
Qualifications
- Masters (Research) of Computer Engineering, Kyung Hee University
- Doctor of Philosophy of Computer Science, La Trobe University
Works
Search Professor Noorul Amin’s works on UQ eSpace
2025
Journal Article
Single-cell Rapid Capture Hybridization sequencing to reliably detect isoform usage and coding mutations in targeted genes
Peng, Hongke, Jabbari, Jafar S., Tian, Luyi, Wang, Changqing, You, Yupei, Chua, Chong Chyn, Anstee, Natasha S., Amin, Noorul, Wei, Andrew H., Davidson, Nadia, Roberts, Andrew W., Huang, David, Ritchie, Matthew E and Thijssen, Rachel (2025). Single-cell Rapid Capture Hybridization sequencing to reliably detect isoform usage and coding mutations in targeted genes. Genome Research, gr.279322.124. doi: 10.1101/gr.279322.124
2024
Journal Article
Flexiplex: a versatile demultiplexer and search tool for omics data
Cheng, Oliver, Ling, Min Hao, Wang, Changqing, Wu, Shuyi, Ritchie, Matthew E., Goke, Jonathan, Amin, Noorul and Davidson, Nadia M. (2024). Flexiplex: a versatile demultiplexer and search tool for omics data. Bioinformatics, 40 (3) btae102, 3. doi: 10.1093/bioinformatics/btae102
2024
Journal Article
Single-cell Rapid Capture Hybridization sequencing (scRaCH-seq) to reliably detect isoform usage and coding mutations in targeted genes at a single-cell level
Peng, Hongke, Jabbari, Jafar S., Tian, Luyi, Chua, Chong Chyn, Natasha S. Anstee, Amin, Noorul, Wei, Andrew H., Davidson, Nadia M., Roberts, Andrew W., Huang, David C. S., Ritchie, Matthew E. and Thijssen, Rachel (2024). Single-cell Rapid Capture Hybridization sequencing (scRaCH-seq) to reliably detect isoform usage and coding mutations in targeted genes at a single-cell level. bioRxiv, 1-25. doi: 10.1101/2024.01.30.577942
2023
Conference Publication
Venetoclax has potent efficacy in NPM1 mutated AML with acquired resistance associated with either perturbed pro-survival signalling or NPM1 wild-type populations
Chua, Chong Chyn, Anstee, Natasha, Flensburg, Christoffer, Teh, Charis, Ivey, Adam, Amin, Noorul, Thijssen, Rachel, Bohlander, Stefan K., Kakadia, Purvi M., Xu, Zhen, Fong, Chun Yew, Ting, Stephen, Loo, Sun, Tiong, Ing Soo, Gray, Daniel, Fleming, Shaun, Davidson, Nadia, Roberts, Andrew W., Majewski, Ian, Wei, Andrew H. and Brown, Fiona C. (2023). Venetoclax has potent efficacy in NPM1 mutated AML with acquired resistance associated with either perturbed pro-survival signalling or NPM1 wild-type populations. 65th ASH Annual Meeting, San Diego, CA United States, 9-12 December 2023. Washington, DC United States: American Society of Hematology. doi: 10.1182/blood-2023-185321
2021
Journal Article
FexRNA: exploratory data analysis and feature selection of non-coding RNA
Amin, Noorul, McGrath, Annette and Chen, Yi-Ping Phoebe (2021). FexRNA: exploratory data analysis and feature selection of non-coding RNA. IEEE/ACM Transactions on Computational Biology and Bioinformatics, 18 (6), 2795-2801. doi: 10.1109/tcbb.2021.3057128
2020
Journal Article
Reply to: LncADeep performance on full-length transcripts
Amin, Noorul, McGrath, Annette and Chen, Yi-Ping Phoebe (2020). Reply to: LncADeep performance on full-length transcripts. Nature Machine Intelligence, 3 (3), 196-196. doi: 10.1038/s42256-019-0107-3
2020
Journal Article
Author Correction: Evaluation of deep learning in non-coding RNA classification
Amin, Noorul, McGrath, Annette and Chen, Yi-Ping Phoebe (2020). Author Correction: Evaluation of deep learning in non-coding RNA classification. Nature Machine Intelligence, 2 (4), 236-236. doi: 10.1038/s42256-019-0143-z
2019
Journal Article
Evaluation of deep learning in non-coding RNA classification
Amin, Noorul, McGrath, Annette and Chen, Yi-Ping Phoebe (2019). Evaluation of deep learning in non-coding RNA classification. Nature Machine Intelligence, 1 (5), 246-256. doi: 10.1038/s42256-019-0051-2
2017
Conference Publication
Extracting top-K interesting subgraphs with weighted query semantics
Amin, Noorul, Khan, Kifayat Ullah, Dolgorsuren, Batjargal and Lee, Young-Koo (2017). Extracting top-K interesting subgraphs with weighted query semantics. 2017 IEEE International Conference on Big Data and Smart Computing (BigComp), Jeju, South Korea, 13-16 February 2017. New York, NY USA: Institute of Electrical and Electronics Engineers. doi: 10.1109/bigcomp.2017.7881695
2016
Conference Publication
On efficiently summarizing a large dynamic graph
Khan, Kifayat Ullah, Rasel, Mostofa Kamal, Noorulamin, Muhammad, Nawaz, Waqas and Lee, Young-Koo (2016). On efficiently summarizing a large dynamic graph. 2016 International Conference on Big Data and Smart Computing (BigComp), Hong Kong, China, 18-20 January 2016. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/bigcomp.2016.7425944
2015
Conference Publication
Analyzing subgraph isomorphism on graphs with diverse structural properties
Amin, Noorul, Khan, Kifayat Ullah and Lee, Young-Koo (2015). Analyzing subgraph isomorphism on graphs with diverse structural properties. BigDAS '15: 2015 International Conference on Big Data Applications and Services, Jeju Island, South Korea, 20-23 October 2015. New York, NY USA: Association for Computing Machinery. doi: 10.1145/2837060.2837088
2015
Journal Article
Distance-constraint k-nearest neighbor searching in mobile sensor networks
Han, Yongkoo, Park, Kisung, Hong, Jihye, Ulamin, Noor and Lee, Young-Koo (2015). Distance-constraint k-nearest neighbor searching in mobile sensor networks. Sensors, 15 (8), 18209-18228. doi: 10.3390/s150818209
Supervision
Availability
- Dr Noorul Amin is:
- Available for supervision
Before you email them, read our advice on how to contact a supervisor.
Available projects
-
Generative and Federated Machine Learning in Antimicrobial Resistance in Australian Agribusiness
Doctor of Philosophy
-
Integrating Antimicrobial Resistance Data Across OneHealth Using a Semantic Interoperability Framework
Doctor of Philosophy
-
Developing an AI-Powered Contextual Knowledge Graph for Agricultural Optimization
Master/Honours
-
AMR Digital Twin: A Synthetic Intelligence Framework for Risk Assessment in Australian Agribusiness, Food Processing, and Environmental Sectors Using Machine Learning
Doctor of Philosophy
-
Integrating Antimicrobial Resistance Data Across OneHealth Using a Semantic Interoperability Framework
Doctor of Philosophy
-
Developing an AI-Powered Contextual Knowledge Graph for Agricultural Optimization
Master/Honours
-
Self-Evolving Ontology and Integration Framework for Cross-Sectoral Antimicrobial Resistance and Usage Data Integration, Correlation, and Causality Across Agriculture, and Environmental Systems
Doctor of Philosophy
-
AMR Digital Twin: A Synthetic Intelligence Framework for Risk Assessment in Australian Agribusiness, Food Processing, and Environmental Sectors Using Machine Learning
Doctor of Philosophy
-
Integrating Antimicrobial Resistance Data Across OneHealth Using a Semantic Interoperability Framework
Doctor of Philosophy
-
Developing an AI-Powered Contextual Knowledge Graph for Agricultural Optimization
Master/Honours
-
Self-Evolving Ontology and Integration Framework for Cross-Sectoral Antimicrobial Resistance and Usage Data Integration, Correlation, and Causality Across Agriculture, and Environmental Systems
Doctor of Philosophy
-
AMR Digital Twin: A Synthetic Intelligence Framework for Risk Assessment in Australian Agribusiness, Food Processing, and Environmental Sectors Using Machine Learning
Doctor of Philosophy
-
Integrating Antimicrobial Resistance Data Across OneHealth Using a Semantic Interoperability Framework
Doctor of Philosophy
-
Developing an AI-Powered Contextual Knowledge Graph for Agricultural Optimization
Master/Honours
-
Self-Evolving Ontology and Integration Framework for Cross-Sectoral Antimicrobial Resistance and Usage Data Integration, Correlation, and Causality Across Agriculture, and Environmental Systems
Doctor of Philosophy
Media
Enquiries
For media enquiries about Dr Noorul Amin's areas of expertise, story ideas and help finding experts, contact our Media team: